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Basic Concept of Artificial Intelligence (AI)
Artificial Intelligence is a way of making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think. AI is accomplished by studying how human brain thinks and how humans learn, decide, and work while trying to solve a problem, and then using the outcomes of this study as a basis of developing intelligent software and systems.
人工智能是一种使计算机、计算机控制的机器人或软件智能思考的方式，类似于智能人类的思维方式。人工智能是通过研究人类大脑是如何思考的，以及人类在解决问题时是如何学习、决定和工作的，然后将这项研究的结果作为开发智能软件和系统的基础来实现的。
The Necessity of Learning AI
AI can learn through data
In our daily life, we deal with huge amount of data and human brain cannot keep track of so much data. That is why we need to automate the things. For doing automation, we need to study AI because it can learn from data and can do the repetitive tasks with accuracy and without tiredness.
在我们的日常生活中，我们要处理大量的数据，而人脑却无法跟踪这么多的数据。这就是我们需要自动化的原因。要实现自动化，我们需要研究人工智能，因为它可以从数据中学习，可以准确无误地完成重复性的任务，不会感到疲劳。
AI can teach itself
It is very necessary that a system should teach itself because the data itself keeps changing and the knowledge which is derived from such data must be updated constantly. We can use AI to fulfill this purpose because an AI enabled system can teach itself.
一个系统应该自学是非常必要的，因为数据本身是不断变化的，从这些数据中获得的知识必须不断更新。我们可以使用人工智能来实现这个目的，因为一个人工智能支持的系统可以自学。
AI can respond in real time
Artificial intelligence with the help of neural networks can analyze the data more deeply. Due to this capability, AI can think and respond to the situations which are based on the conditions in real time.
人工智能借助神经网络可以对数据进行更深入的分析。由于这种能力，人工智能可以实时地根据情况思考和反应。
AI achieves accuracy
With the help of deep neural networks, AI can achieve tremendous accuracy. AI helps in the field of medicine to diagnose diseases such as cancer from the MRIs of patients.
在深度神经网络的帮助下，人工智能可以达到极大的准确性。人工智能帮助医学领域从患者的核磁共振成像(MRIs)中诊断癌症等疾病。
AI can organize data to get most out of it
Understanding Intelligence
What is Intelligence?
The ability of a system to calculate, reason, perceive relationships and analogies, learn from experience, store and retrieve information from memory, solve problems, comprehend complex ideas, use natural language fluently, classify, generalize, and adapt new situations.
系统计算、推理、感知关系和类比、从经验中学习、从记忆中存储和检索信息、解决问题、理解复杂思想、流利地使用自然语言、分类、概括和适应新情况的能力。